91 citations · 188 across the 18 of their papers we have counts for
21 papers
HiTZ@Antidote: Argumentation-driven Explainable Artificial Intelligence for Digital Medicine
Rodrigo Agerri, Iñigo Alonso, Aitziber Atutxa +9
Providing high quality explanations for AI predictions based on machine learning is a challenging and complex task. To work well it requires, among other factors: selecting a prope…
A Modular Approach for Multilingual Timex Detection and Normalization using Deep Learning and Grammar-based methods
Nayla Escribano, German Rigau, Rodrigo Agerri
Detecting and normalizing temporal expressions is an essential step for many NLP tasks. While a variety of methods have been proposed for detection, best normalization approaches r…
On the Role of Morphological Information for Contextual Lemmatization
Olia Toporkov, Rodrigo Agerri
Lemmatization is a natural language processing (NLP) task which consists of producing, from a given inflected word, its canonical form or lemma. Lemmatization is one of the basic t…
Cross-lingual Argument Mining in the Medical Domain
Anar Yeginbergen, Rodrigo Agerri
Nowadays the medical domain is receiving more and more attention in applications involving Artificial Intelligence as clinicians decision-making is increasingly dependent on dealin…
T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks
Iker García-Ferrero, Rodrigo Agerri, German Rigau
In the absence of readily available labeled data for a given sequence labeling task and language, annotation projection has been proposed as one of the possible strategies to autom…
Lessons learned from the evaluation of Spanish Language Models
Rodrigo Agerri, Eneko Agirre
Given the impact of language models on the field of Natural Language Processing, a number of Spanish encoder-only masked language models (aka BERTs) have been trained and released.…
Leveraging a New Spanish Corpus for Multilingual and Crosslingual Metaphor Detection
Elisa Sanchez-Bayona, Rodrigo Agerri
The lack of wide coverage datasets annotated with everyday metaphorical expressions for languages other than English is striking. This means that most research on supervised metaph…
Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings
Iker García-Ferrero, Rodrigo Agerri, German Rigau
Zero-resource cross-lingual transfer approaches aim to apply supervised models from a source language to unlabelled target languages. In this paper we perform an in-depth study of…
BasqueParl: A Bilingual Corpus of Basque Parliamentary Transcriptions
Nayla Escribano, Jon Ander González, Julen Orbegozo-Terradillos +4
Parliamentary transcripts provide a valuable resource to understand the reality and know about the most important facts that occur over time in our societies. Furthermore, the poli…
Does Corpus Quality Really Matter for Low-Resource Languages?
Mikel Artetxe, Itziar Aldabe, Rodrigo Agerri +2
The vast majority of non-English corpora are derived from automatically filtered versions of CommonCrawl. While prior work has identified major issues on the quality of these datas…
Multilingual Counter Narrative Type Classification
Yi-Ling Chung, Marco Guerini, Rodrigo Agerri
The growing interest in employing counter narratives for hatred intervention brings with it a focus on dataset creation and automation strategies. In this scenario, learning to rec…
Semi-automatic Generation of Multilingual Datasets for Stance Detection in Twitter
Elena Zotova, Rodrigo Agerri, German Rigau
Popular social media networks provide the perfect environment to study the opinions and attitudes expressed by users. While interactions in social media such as Twitter occur in ma…
Give your Text Representation Models some Love: the Case for Basque
Rodrigo Agerri, Iñaki San Vicente, Jon Ander Campos +4
Word embeddings and pre-trained language models allow to build rich representations of text and have enabled improvements across most NLP tasks. Unfortunately they are very expensi…
Multilingual Stance Detection: The Catalonia Independence Corpus
Elena Zotova, Rodrigo Agerri, Manuel Nuñez +1
Stance detection aims to determine the attitude of a given text with respect to a specific topic or claim. While stance detection has been fairly well researched in the last years,…
A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings
Iker García-Ferrero, Rodrigo Agerri, German Rigau
This paper presents a new technique for creating monolingual and cross-lingual meta-embeddings. Our method integrates multiple word embeddings created from complementary techniques…
Language Independent Sequence Labelling for Opinion Target Extraction
Rodrigo Agerri, German Rigau
In this research note we present a language independent system to model Opinion Target Extraction (OTE) as a sequence labelling task. The system consists of a combination of cluste…
Real Time Monitoring of Social Media and Digital Press
Iñaki San Vicente, Xabier Saralegi, Rodrigo Agerri
Talaia is a platform for monitoring social media and digital press. A configurable crawler gathers content with respect to user defined domains or topics. Crawled data is processed…
EliXa: A Modular and Flexible ABSA Platform
Iñaki San Vicente, Xabier Saralegi, Rodrigo Agerri
This paper presents a supervised Aspect Based Sentiment Analysis (ABSA) system. Our aim is to develop a modular platform which allows to easily conduct experiments by replacing the…
Q-WordNet PPV: Simple, Robust and (almost) Unsupervised Generation of Polarity Lexicons for Multiple Languages
Iñaki San Vicente, Rodrigo Agerri, German Rigau
This paper presents a simple, robust and (almost) unsupervised dictionary-based method, qwn-ppv (Q-WordNet as Personalized PageRanking Vector) to automatically generate polarity le…
Multilingual and Cross-lingual Timeline Extraction
Egoitz Laparra, Rodrigo Agerri, Itziar Aldabe +1
In this paper we present an approach to extract ordered timelines of events, their participants, locations and times from a set of multilingual and cross-lingual data sources. Base…
Robust Multilingual Named Entity Recognition with Shallow Semi-Supervised Features
Rodrigo Agerri, German Rigau
We present a multilingual Named Entity Recognition approach based on a robust and general set of features across languages and datasets. Our system combines shallow local informati…